“وحید ملکیان”

پست الکترونیکی: 

سمت در پژوهشگاه

پسا دکتری، پژوهشکده علوم شناختی
(1397 تا اکنون )

فعالیت‌های پژوهشی

I received my Ph.D. in Biomedical Engineering in the field of functional neuroimaging at Amirkabir University of Technology (Tehran, Iran). In my thesis, I worked on developing MRI pulse sequences to acquire high-resolution fMRI at high-field. I implemented the proposed technique based on SSFP pulse sequence at Donders institute (Nijmegen, Netherlands) and acquired data by 7 Tesla scanner in Erwin L. Hahn institute (Essen, Germany) within my visiting scholar. My current position is to deal with developing advanced MRI techniques and Analysis Methods for Functional Neuroimaging studies under the supervision of Dr. Nasiraei Moghaddam. Another interest is to investigate and work on fMRI in its clinical applications

مقالات

1. V. Malekian, F. Rastegar, B. Shafieizargar and A. Nasiraei-Moghaddam
SSFP fMRI at 3 tesla: Efficiency of polar acquisition-reconstruction technique
Magnetic Resonance Imaging 74 (2020), 1-10  [abstract]   
2. V. Malekian, A. Moghaddam, A. Akhavan and GH. Hossein-Zadeh
Efficient de-noising of high-resolution fMRI using local and sub-band information
Journal of Neuroscience Methods 331 (2020), 1-10  [abstract]   
3. V. Malekian, Sh. Shalikar, F. Rastegar and A. Nasiraei Moghaddam
SSFP-fMRI: Radial reading helps to Improve Temporal SNR
( In: Proc. Intl Soc Mag Reson Med. Conf. (Toronto, CA), 2019)
[abstract]   
4. V. Malekian and A. Moghaddam
Motor Mapping for Pre-surgical Planning Using Seed-based Resting-State fMRI Approach
( In: 36th Proc. ESMRMb (Rotterdam, NL). Vol. 36. 2019)
[abstract]   
5. V. Malekian, A. Nasiraei-Moghaddam and M. Khajehim
A robust SSFP technique for fMRI at ultra-high field strengths
Magnetic Resonance Imaging 50 (2018), 17-25  [abstract]   
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